Fast identification of highly distorted images

Taras Holotyak; Sviatoslav Voloshynovskiy; Fokko Beekhof; Oleksiy Koval

doi:10.1117/12.838962

27 January 2010 Fast identification of highly distorted images

Taras Holotyak, Sviatoslav Voloshynovskiy, Fokko Beekhof, Oleksiy Koval

Proceedings Volume 7541, Media Forensics and Security II; 754116 (2010) https://doi.org/10.1117/12.838962
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States

Abstract

In this paper, we consider a low complexity identification system for highly distorted images. The performance of the proposed identification system is analyzed based on the average probability of error. An expected improvement of the performance is obtained combining random projection transform and concept of bit reliability. Simulations based on synthetic and real data confirm the efficiency of the proposed approach.

Citation Download Citation

Taras Holotyak, Sviatoslav Voloshynovskiy, Fokko Beekhof, and Oleksiy Koval "Fast identification of highly distorted images", Proc. SPIE 7541, Media Forensics and Security II, 754116 (27 January 2010); https://doi.org/10.1117/12.838962

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available